Uber Technologies
Senior Software Engineer - Uber's Analytics Ecosystem team
Uber Technologies, Sunnyvale, California, United States, 94087
Senior Software Engineer - Uber's Analytics Ecosystem team
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Retrieved from the description. Base pay range
$198,000.00/yr - $220,000.00/yr About The Role
We are looking for a passionate and hands‑on engineer to join Uber's Analytics Ecosystem team – one of the largest business intelligence (BI) and analytics platforms in the industry. Our team manages Uber's BI ecosystem and is driving the next generation of BI products focused on efficiency, speed, query governance, and AI‑powered features. This platform powers data‑driven decision‑making across core areas such as Rides, Eats, Freight, Risk, and more. In this role, you'll work with cutting‑edge technologies, help shape architectural decisions across BI tools, data products, and cloud infrastructure, and collaborate with a highly skilled team to influence the future of Uber's data platform. Responsibilities
Design and build end‑to‑end BI ecosystem solutions encompassing query creation, governance, optimization, execution, analytic extraction, and visualization, enhanced with AI‑assisted features. Drive impactful BI initiatives on Uber's data platform, serving a global user base. Develop and optimize core components of BI ecosystem, core engines, and services that power data‑driven decision‑making at scale. Design and implement distributed, low‑latency algorithms for interactive and large‑scale data processing. Optimize performance of cloud‑based SQL BI solutions, with a focus on scalability and user experience. Collaborate with multiple partner teams, both within and outside of Uber, to build cross‑functional solutions in a highly collaborative work environment. Actively contribute to the open‑source community, including Presto, through code contributions, talks, and participation in community activities. Basic Qualifications
Bachelor's degree in Computer Science or related field. 5+ years of experience building large‑scale distributed software systems. Solid understanding of Java/GO/Python for backend / systems software development. Preferred Qualifications
MS or PhD in Computer Science, Artificial Intelligence, or a related field. Experience managing production systems with strong availability SLAs. Experience with cloud‑based data platforms such as Snowflake, Redshift, or BigQuery. Proficient in BI tools, SQL compiler development, and query plan/runtime optimization. Fluency in Java, Python, and SQL. Strong background in large‑scale distributed systems (e.g., HDFS, YARN) and cloud infrastructure. Deep understanding of query planning, optimization techniques, and performance tuning. Experience developing or integrating AI/ML models into data and analytics workflows. Familiarity with conversational AI, AI‑driven BI, or intelligent assistants for analytics use cases. Experience designing and implementing frontend/UI components, especially for data‑centric applications.
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Get AI-powered advice on this job and more exclusive features. Pay found in job post
Retrieved from the description. Base pay range
$198,000.00/yr - $220,000.00/yr About The Role
We are looking for a passionate and hands‑on engineer to join Uber's Analytics Ecosystem team – one of the largest business intelligence (BI) and analytics platforms in the industry. Our team manages Uber's BI ecosystem and is driving the next generation of BI products focused on efficiency, speed, query governance, and AI‑powered features. This platform powers data‑driven decision‑making across core areas such as Rides, Eats, Freight, Risk, and more. In this role, you'll work with cutting‑edge technologies, help shape architectural decisions across BI tools, data products, and cloud infrastructure, and collaborate with a highly skilled team to influence the future of Uber's data platform. Responsibilities
Design and build end‑to‑end BI ecosystem solutions encompassing query creation, governance, optimization, execution, analytic extraction, and visualization, enhanced with AI‑assisted features. Drive impactful BI initiatives on Uber's data platform, serving a global user base. Develop and optimize core components of BI ecosystem, core engines, and services that power data‑driven decision‑making at scale. Design and implement distributed, low‑latency algorithms for interactive and large‑scale data processing. Optimize performance of cloud‑based SQL BI solutions, with a focus on scalability and user experience. Collaborate with multiple partner teams, both within and outside of Uber, to build cross‑functional solutions in a highly collaborative work environment. Actively contribute to the open‑source community, including Presto, through code contributions, talks, and participation in community activities. Basic Qualifications
Bachelor's degree in Computer Science or related field. 5+ years of experience building large‑scale distributed software systems. Solid understanding of Java/GO/Python for backend / systems software development. Preferred Qualifications
MS or PhD in Computer Science, Artificial Intelligence, or a related field. Experience managing production systems with strong availability SLAs. Experience with cloud‑based data platforms such as Snowflake, Redshift, or BigQuery. Proficient in BI tools, SQL compiler development, and query plan/runtime optimization. Fluency in Java, Python, and SQL. Strong background in large‑scale distributed systems (e.g., HDFS, YARN) and cloud infrastructure. Deep understanding of query planning, optimization techniques, and performance tuning. Experience developing or integrating AI/ML models into data and analytics workflows. Familiarity with conversational AI, AI‑driven BI, or intelligent assistants for analytics use cases. Experience designing and implementing frontend/UI components, especially for data‑centric applications.
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